The applications of distributed fiber-optic sensing for production optimization in oil shale reservoir

Shale oil wells undergo hydraulic fracturing to enhance production yields. The success of this stimulation and optimization significantly impacts the overall productivity of shale oil wells. Therefore, assessing the effectiveness of hydraulic fracturing is crucial. Currently, distributed fiber optic sensing (DFOS) serves as a high-precision signal receiver across the entire wellbore, allowing real-time monitoring of well parameters such as temperature, acoustic waves, and strain. In this study, we explore the application of DFOS technology in evaluating the effects of simulation after fracturing, in a multi-stage horizontal shale oil well. Collecting temperature, acoustic signals, and downhole pressure data through cable production tubing and a bottom hole pressure gauge, we establish interpretive models and iteratively invert the data to compute production profiles for horizontal sections. Quantitative analysis of production dynamics within individual clusters during the horizontal well production process provides essential insights for optimizing production subsequent acidizing in a shale oil horizontal well.